This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from experimenting with pre-built ML models through pre-built ML APIs and AutoML Vision to building custom image classifiers using linear models, deep neural network (DNN) models or convolutional neural network (CNN) models.
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
- 5 stars68.15%
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來自COMPUTER VISION FUNDAMENTALS WITH GOOGLE CLOUD的熱門評論
Great course, great team, First week is as it was expected but second is week is outstanding. The Neural Architecture search(NAS) is outstanding. Super job.
Great TPU Exploration.
Mr LEK Is very cool and his explanation about the topic is sound easy.
a real eye opener education, it gave me lots of answers to the questions i had in this area. it is just amazing that ML can differ between roses and tulips !
Good Practical Experience with the concepts what that I learned . Good for recommending my friends.
關於 Advanced Machine Learning on Google Cloud 專項課程
This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.
该课程是 Coursera 上提供的为数不多的课程之一，目前只对已购买课程或已获得助学金的学生开放。
Qwiklabs Terms of Service
Definitions“Service” means the Lab Service and the Lab Creation Service, collectively, along with the Qwiklab Site.“Lab Service” means the educational, training, and learning services provided to you through the Qwiklabs Site, or any related website provided by Cloud vLab, in concert with your respective Lab Sponsor.“Creator role” means the designation of your account as a creator to access the “Lab Creation Service”. If you have the Creator role, all sections of this agreement apply to you including sections that reference the Lab Service and the Lab Creation Service.“Lab Creation Service” means the services and functionality hosted by Cloud vLab and made available to you only if you have a “Creator role” on or through the Qwiklabs Site through which you may deploy, configure, customize, manage, administer, and control a virtual server for implementing and testing software as a part of your training through the Lab Service.“Lab Sponsor” means the company or other organization with whom you are employed or otherwise associated in connection with the Lab Service."Content" means any content or work of authorship created, owned or licensed by you only if you have a “Creator role’, submitted to the Lab Creation Service, and that is transmitted, rendered, displayed or executed on or through the Service, including without limitation any text, postings, audio, sounds, video, photos, images, messages, software, and materials.“Sponsor Content” means any content or work of authorship created, owned, or licensed by your Lab Sponsor and utilized in the Service.“Qwiklabs Technology” means all of Cloud vLab’s proprietary technology (including, but not limited to, software, hardware, products, processes, algorithms, user interfaces, know-how, techniques, designs, and other tangible or intangible technical material or information) made available to you by Cloud vLab in providing the Service, excluding Sponsor Content.“Qwiklabs Site” means the web site located at Qwiklab.com, and/or any related or successor URLs operated or controlled by Cloud vLab.“Resources” means any virtual or physical infrastructure provided to you by the Service.Use of the ServiceOverview of Rights
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Intellectual PropertyCloud vLab Intellectual Property
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Term and TerminationTerm
This Agreement commences upon your acceptance of this Agreement by clicking “I Accept” in the sign-up process for the Service and shall continue until terminated (the “Term”). You acknowledge and agree that Cloud vLab or your Lab Sponsor may terminate and/or suspend your access to any portion of the Service for any reason or for no reason at all, in Cloud vLab’s sole discretion, without prior notice. You may terminate this Agreement at any time by discontinuing your use of the Service. For users of Demo Accounts, this Agreement shall terminate upon the expiration of the corresponding Demo Period. All other user accounts shall terminate upon the conclusion or withdrawal of the Lab Service by the Lab Sponsor.
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You acknowledge and agree that by using the Service, you may be exposed to Sponsor Content that is offensive, indecent, or objectionable. You further acknowledge and agree that the Service and the Sponsor Content may contain errors or omissions. You acknowledge and agree that Cloud vLab does not screen or review published Sponsor Content on the Service to determine whether it contains false or defamatory material or material which is offensive, indecent, objectionable, or which contains errors or omissions. Under no circumstances will Cloud vLab be liable in any way for Sponsor Content, including, but not limited to, for any defamation, falsehoods, errors, or omissions in any such content, or for any loss or damage of any kind incurred as a result of the use or publication of any such Sponsor Content posted, emailed, or otherwise transmitted via the Service. Cloud vLab does not guarantee that any Sponsor Content will be to your satisfaction.
CLOUD VLAB AND ITS LICENSORS MAKE NO REPRESENTATION, WARRANTY, OR GUARANTY AS TO THE RELIABILITY, TIMELINESS, QUALITY, SUITABILITY, TRUTH, AVAILABILITY, ACCURACY, OR COMPLETENESS OF THE SERVICE OR ANY SPONSOR CONTENT. CLOUD VLAB AND ITS LICENSORS DO NOT REPRESENT OR WARRANT THAT (A) THE USE OF THE SERVICE WILL BE SECURE, TIMELY, UNINTERRUPTED, OR ERROR-FREE OR OPERATE IN COMBINATION WITH ANY OTHER HARDWARE, SOFTWARE, SYSTEM, OR DATA, (B) THE SERVICE WILL MEET YOUR REQUIREMENTS OR EXPECTATIONS, (C) ANY STORED DATA WILL BE ACCURATE OR RELIABLE, (D) THE QUALITY OF ANY PRODUCTS, SERVICES, INFORMATION, OR OTHER MATERIAL PURCHASED OR OBTAINED BY YOU THROUGH THE SERVICE WILL MEET YOUR REQUIREMENTS OR EXPECTATIONS, (E) ERRORS OR DEFECTS WILL BE CORRECTED, OR (F) THE SERVICE OR THE SERVER(S) THAT MAKE THE SERVICE AVAILABLE ARE FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS. THE SERVICE AND ALL SPONSOR CONTENT ARE PROVIDED TO YOU STRICTLY ON AN "AS IS" BASIS. CLOUD VLAB AND ITS LICENSORS HEREBY DISCLAIM (TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW) ALL CONDITIONS, REPRESENTATIONS AND WARRANTIES, WHETHER EXPRESS, IMPLIED, STATUTORY OR OTHERWISE, INCLUDING, WITHOUT LIMITATION, ANY IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR NON-INFRINGEMENT OF THIRD PARTY RIGHTS.
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In no event shall Cloud vLab incur any liability to you or any End Users on account of any loss or damage resulting from any delay or failure to perform all or any part of this Agreement to the extent such delay or failure is caused by events, occurrences, or causes beyond the control and without negligence of Cloud vLab, including by not limited to acts of God, strikes, riots, acts of war, lockouts, earthquakes, fires, and explosions.
Last Updated: September 1, 2015